[{"title":"Theta oscillations as a substrate for medial prefrontal-hippocampal assembly interactions","publication_status":"published","article_processing_charge":"Yes","oa_version":"Published Version","file_date_updated":"2023-09-15T07:12:46Z","scopus_import":"1","doi":"10.1016/j.celrep.2023.113015","publication_identifier":{"eissn":["2211-1247"]},"acknowledgement":"We thank A. Cumpelik, H. Chiossi, and L. Bollman for comments on an earlier version of this manuscript. This work was funded by EU-FP7 MC-ITN IN-SENS (grant 607616).","article_type":"original","date_created":"2023-09-10T22:01:11Z","file":[{"file_name":"2023_CellPress_Nardin.pdf","access_level":"open_access","success":1,"date_updated":"2023-09-15T07:12:46Z","file_size":4879455,"date_created":"2023-09-15T07:12:46Z","relation":"main_file","file_id":"14337","creator":"dernst","content_type":"application/pdf","checksum":"ca77a304fb813c292550b8604b0fb41d"}],"_id":"14314","citation":{"ieee":"M. Nardin, K. Käfer, F. Stella, and J. L. Csicsvari, “Theta oscillations as a substrate for medial prefrontal-hippocampal assembly interactions,” <i>Cell Reports</i>, vol. 42, no. 9. Elsevier, 2023.","ista":"Nardin M, Käfer K, Stella F, Csicsvari JL. 2023. Theta oscillations as a substrate for medial prefrontal-hippocampal assembly interactions. Cell Reports. 42(9), 113015.","ama":"Nardin M, Käfer K, Stella F, Csicsvari JL. Theta oscillations as a substrate for medial prefrontal-hippocampal assembly interactions. <i>Cell Reports</i>. 2023;42(9). doi:<a href=\"https://doi.org/10.1016/j.celrep.2023.113015\">10.1016/j.celrep.2023.113015</a>","mla":"Nardin, Michele, et al. “Theta Oscillations as a Substrate for Medial Prefrontal-Hippocampal Assembly Interactions.” <i>Cell Reports</i>, vol. 42, no. 9, 113015, Elsevier, 2023, doi:<a href=\"https://doi.org/10.1016/j.celrep.2023.113015\">10.1016/j.celrep.2023.113015</a>.","chicago":"Nardin, Michele, Karola Käfer, Federico Stella, and Jozsef L Csicsvari. “Theta Oscillations as a Substrate for Medial Prefrontal-Hippocampal Assembly Interactions.” <i>Cell Reports</i>. Elsevier, 2023. <a href=\"https://doi.org/10.1016/j.celrep.2023.113015\">https://doi.org/10.1016/j.celrep.2023.113015</a>.","apa":"Nardin, M., Käfer, K., Stella, F., &#38; Csicsvari, J. L. (2023). Theta oscillations as a substrate for medial prefrontal-hippocampal assembly interactions. <i>Cell Reports</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.celrep.2023.113015\">https://doi.org/10.1016/j.celrep.2023.113015</a>","short":"M. Nardin, K. Käfer, F. Stella, J.L. Csicsvari, Cell Reports 42 (2023)."},"year":"2023","article_number":"113015","abstract":[{"text":"The execution of cognitive functions requires coordinated circuit activity across different brain areas that involves the associated firing of neuronal assemblies. Here, we tested the circuit mechanism behind assembly interactions between the hippocampus and the medial prefrontal cortex (mPFC) of adult rats by recording neuronal populations during a rule-switching task. We identified functionally coupled CA1-mPFC cells that synchronized their activity beyond that expected from common spatial coding or oscillatory firing. When such cell pairs fired together, the mPFC cell strongly phase locked to CA1 theta oscillations and maintained consistent theta firing phases, independent of the theta timing of their CA1 counterpart. These functionally connected CA1-mPFC cells formed interconnected assemblies. While firing together with their CA1 assembly partners, mPFC cells fired along specific theta sequences. Our results suggest that upregulated theta oscillatory firing of mPFC cells can signal transient interactions with specific CA1 assemblies, thus enabling distributed computations.","lang":"eng"}],"volume":42,"oa":1,"author":[{"first_name":"Michele","last_name":"Nardin","orcid":"0000-0001-8849-6570","id":"30BD0376-F248-11E8-B48F-1D18A9856A87","full_name":"Nardin, Michele"},{"last_name":"Käfer","first_name":"Karola","full_name":"Käfer, Karola","id":"2DAA49AA-F248-11E8-B48F-1D18A9856A87"},{"id":"39AF1E74-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-9439-3148","full_name":"Stella, Federico","first_name":"Federico","last_name":"Stella"},{"last_name":"Csicsvari","first_name":"Jozsef L","full_name":"Csicsvari, Jozsef L","orcid":"0000-0002-5193-4036","id":"3FA14672-F248-11E8-B48F-1D18A9856A87"}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","department":[{"_id":"JoCs"}],"date_updated":"2023-09-15T07:14:12Z","ec_funded":1,"publication":"Cell Reports","intvolume":"        42","quality_controlled":"1","day":"26","issue":"9","tmp":{"name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","image":"/images/cc_by.png","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)"},"project":[{"_id":"257BBB4C-B435-11E9-9278-68D0E5697425","name":"Inter-and intracellular signalling in schizophrenia","call_identifier":"FP7","grant_number":"607616"}],"has_accepted_license":"1","type":"journal_article","external_id":{"pmid":["37632747"]},"date_published":"2023-09-26T00:00:00Z","pmid":1,"publisher":"Elsevier","month":"09","status":"public","ddc":["570"],"language":[{"iso":"eng"}]},{"ddc":["570"],"language":[{"iso":"eng"}],"status":"public","month":"11","pmid":1,"publisher":"Society of Neuroscience","type":"journal_article","date_published":"2023-11-29T00:00:00Z","external_id":{"pmid":["37758476"]},"tmp":{"name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","image":"/images/cc_by.png","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)"},"has_accepted_license":"1","project":[{"name":"Memory-related information processing in neuronal circuits of the hippocampus and entorhinal cortex","_id":"257A4776-B435-11E9-9278-68D0E5697425","grant_number":"281511","call_identifier":"FP7"},{"grant_number":"P34015","_id":"626c45b5-2b32-11ec-9570-e509828c1ba6","name":"Efficient coding with biophysical realism"},{"_id":"2564DBCA-B435-11E9-9278-68D0E5697425","name":"International IST Doctoral Program","grant_number":"665385","call_identifier":"H2020"}],"issue":"48","day":"29","page":"8140-8156","quality_controlled":"1","intvolume":"        43","ec_funded":1,"date_updated":"2023-12-11T11:37:20Z","publication":"The Journal of Neuroscience","department":[{"_id":"JoCs"},{"_id":"GaTk"}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","author":[{"last_name":"Nardin","first_name":"Michele","full_name":"Nardin, Michele","id":"30BD0376-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-8849-6570"},{"full_name":"Csicsvari, Jozsef L","orcid":"0000-0002-5193-4036","id":"3FA14672-F248-11E8-B48F-1D18A9856A87","last_name":"Csicsvari","first_name":"Jozsef L"},{"orcid":"0000-0002-6699-1455","id":"3D494DCA-F248-11E8-B48F-1D18A9856A87","full_name":"Tkačik, Gašper","first_name":"Gašper","last_name":"Tkačik"},{"id":"3933349E-F248-11E8-B48F-1D18A9856A87","full_name":"Savin, Cristina","first_name":"Cristina","last_name":"Savin"}],"volume":43,"oa":1,"abstract":[{"lang":"eng","text":"Although much is known about how single neurons in the hippocampus represent an animal's position, how circuit interactions contribute to spatial coding is less well understood. Using a novel statistical estimator and theoretical modeling, both developed in the framework of maximum entropy models, we reveal highly structured CA1 cell-cell interactions in male rats during open field exploration. The statistics of these interactions depend on whether the animal is in a familiar or novel environment. In both conditions the circuit interactions optimize the encoding of spatial information, but for regimes that differ in the informativeness of their spatial inputs. This structure facilitates linear decodability, making the information easy to read out by downstream circuits. Overall, our findings suggest that the efficient coding hypothesis is not only applicable to individual neuron properties in the sensory periphery, but also to neural interactions in the central brain."}],"citation":{"ieee":"M. Nardin, J. L. Csicsvari, G. Tkačik, and C. Savin, “The structure of hippocampal CA1 interactions optimizes spatial coding across experience,” <i>The Journal of Neuroscience</i>, vol. 43, no. 48. Society of Neuroscience, pp. 8140–8156, 2023.","ista":"Nardin M, Csicsvari JL, Tkačik G, Savin C. 2023. The structure of hippocampal CA1 interactions optimizes spatial coding across experience. The Journal of Neuroscience. 43(48), 8140–8156.","ama":"Nardin M, Csicsvari JL, Tkačik G, Savin C. The structure of hippocampal CA1 interactions optimizes spatial coding across experience. <i>The Journal of Neuroscience</i>. 2023;43(48):8140-8156. doi:<a href=\"https://doi.org/10.1523/JNEUROSCI.0194-23.2023\">10.1523/JNEUROSCI.0194-23.2023</a>","mla":"Nardin, Michele, et al. “The Structure of Hippocampal CA1 Interactions Optimizes Spatial Coding across Experience.” <i>The Journal of Neuroscience</i>, vol. 43, no. 48, Society of Neuroscience, 2023, pp. 8140–56, doi:<a href=\"https://doi.org/10.1523/JNEUROSCI.0194-23.2023\">10.1523/JNEUROSCI.0194-23.2023</a>.","chicago":"Nardin, Michele, Jozsef L Csicsvari, Gašper Tkačik, and Cristina Savin. “The Structure of Hippocampal CA1 Interactions Optimizes Spatial Coding across Experience.” <i>The Journal of Neuroscience</i>. Society of Neuroscience, 2023. <a href=\"https://doi.org/10.1523/JNEUROSCI.0194-23.2023\">https://doi.org/10.1523/JNEUROSCI.0194-23.2023</a>.","short":"M. Nardin, J.L. Csicsvari, G. Tkačik, C. Savin, The Journal of Neuroscience 43 (2023) 8140–8156.","apa":"Nardin, M., Csicsvari, J. L., Tkačik, G., &#38; Savin, C. (2023). The structure of hippocampal CA1 interactions optimizes spatial coding across experience. <i>The Journal of Neuroscience</i>. Society of Neuroscience. <a href=\"https://doi.org/10.1523/JNEUROSCI.0194-23.2023\">https://doi.org/10.1523/JNEUROSCI.0194-23.2023</a>"},"year":"2023","file":[{"file_name":"2023_JourNeuroscience_Nardin.pdf","access_level":"closed","embargo":"2024-06-01","embargo_to":"open_access","relation":"main_file","file_size":2280632,"date_updated":"2023-12-11T11:30:37Z","date_created":"2023-12-11T11:30:37Z","content_type":"application/pdf","creator":"dernst","file_id":"14674","checksum":"e2503c8f84be1050e28f64320f1d5bd2"}],"date_created":"2023-12-10T23:00:58Z","_id":"14656","publication_identifier":{"eissn":["1529-2401"]},"acknowledgement":"M.N. was supported by the European Union Horizon 2020 Grant 665385. J.C. was supported by the European Research Council Consolidator Grant 281511. G.T. was supported by the Austrian Science Fund (FWF) Grant P34015. C.S. was supported by an Institute of Science and Technology fellow award and by the National Science Foundation (NSF) Award No. 1922658. We thank Peter Baracskay, Karola Kaefer, and Hugo Malagon-Vina for the acquisition of the data. We also thank Federico Stella, Wiktor Młynarski, Dori Derdikman, Colin Bredenberg, Roman Huszar, Heloisa Chiossi, Lorenzo Posani, and Mohamady El-Gaby for comments on an earlier version of the manuscript.","article_type":"original","scopus_import":"1","main_file_link":[{"open_access":"1","url":"https://doi.org/10.1523/JNEUROSCI.0194-23.2023"}],"doi":"10.1523/JNEUROSCI.0194-23.2023","article_processing_charge":"Yes (in subscription journal)","oa_version":"Published Version","file_date_updated":"2023-12-11T11:30:37Z","publication_status":"published","title":"The structure of hippocampal CA1 interactions optimizes spatial coding across experience"},{"project":[{"name":"International IST Doctoral Program","_id":"2564DBCA-B435-11E9-9278-68D0E5697425","grant_number":"665385","call_identifier":"H2020"}],"has_accepted_license":"1","page":"136","day":"19","language":[{"iso":"eng"}],"ddc":["573"],"alternative_title":["ISTA Thesis"],"month":"08","status":"public","publisher":"Institute of Science and Technology Austria","date_published":"2022-08-19T00:00:00Z","type":"dissertation","year":"2022","citation":{"mla":"Nardin, Michele. <i>On the Encoding, Transfer, and Consolidation of Spatial Memories</i>. Institute of Science and Technology Austria, 2022, doi:<a href=\"https://doi.org/10.15479/at:ista:11932\">10.15479/at:ista:11932</a>.","chicago":"Nardin, Michele. “On the Encoding, Transfer, and Consolidation of Spatial Memories.” Institute of Science and Technology Austria, 2022. <a href=\"https://doi.org/10.15479/at:ista:11932\">https://doi.org/10.15479/at:ista:11932</a>.","short":"M. Nardin, On the Encoding, Transfer, and Consolidation of Spatial Memories, Institute of Science and Technology Austria, 2022.","apa":"Nardin, M. (2022). <i>On the encoding, transfer, and consolidation of spatial memories</i>. Institute of Science and Technology Austria. <a href=\"https://doi.org/10.15479/at:ista:11932\">https://doi.org/10.15479/at:ista:11932</a>","ista":"Nardin M. 2022. On the encoding, transfer, and consolidation of spatial memories. Institute of Science and Technology Austria.","ieee":"M. Nardin, “On the encoding, transfer, and consolidation of spatial memories,” Institute of Science and Technology Austria, 2022.","ama":"Nardin M. On the encoding, transfer, and consolidation of spatial memories. 2022. doi:<a href=\"https://doi.org/10.15479/at:ista:11932\">10.15479/at:ista:11932</a>"},"supervisor":[{"first_name":"Jozsef L","last_name":"Csicsvari","orcid":"0000-0002-5193-4036","id":"3FA14672-F248-11E8-B48F-1D18A9856A87","full_name":"Csicsvari, Jozsef L"}],"abstract":[{"lang":"eng","text":"The ability to form and retrieve memories is central to survival. In mammals, the hippocampus\r\nis a brain region essential to the acquisition and consolidation of new memories. It is also\r\ninvolved in keeping track of one’s position in space and aids navigation. Although this\r\nspace-memory has been a source of contradiction, evidence supports the view that the role of\r\nthe hippocampus in navigation is memory, thanks to the formation of cognitive maps. First\r\nintroduced by Tolman in 1948, cognitive maps are generally used to organize experiences in\r\nmemory; however, the detailed mechanisms by which these maps are formed and stored are not\r\nyet agreed upon. Some influential theories describe this process as involving three fundamental\r\nsteps: initial encoding by the hippocampus, interactions between the hippocampus and other\r\ncortical areas, and long-term extra-hippocampal consolidation. In this thesis, I will show how\r\nthe investigation of cognitive maps of space helped to shed light on each of these three memory\r\nprocesses.\r\nThe first study included in this thesis deals with the initial encoding of spatial memories in\r\nthe hippocampus. Much is known about encoding at the level of single cells, but less about\r\ntheir co-activity or joint contribution to the encoding of novel spatial information. I will\r\ndescribe the structure of an interaction network that allows for efficient encoding of noisy\r\nspatial information during the first exploration of a novel environment.\r\nThe second study describes the interactions between the hippocampus and the prefrontal\r\ncortex (PFC), two areas directly and indirectly connected. It is known that the PFC, in concert\r\nwith the hippocampus, is involved in various processes, including memory storage and spatial\r\nnavigation. Nonetheless, the detailed mechanisms by which PFC receives information from the\r\nhippocampus are not clear. I will show how a transient improvement in theta phase locking of\r\nPFC cells enables interactions of cell pairs across the two regions.\r\nThe third study describes the learning of behaviorally-relevant spatial locations in the hippocampus and the medial entorhinal cortex. I will show how the accumulation of firing around\r\ngoal locations, a correlate of learning, can shed light on the transition from short- to long-term\r\nspatial memories and the speed of consolidation in different brain areas.\r\nThe studies included in this thesis represent the main scientific contributions of my Ph.D. They\r\ninvolve statistical analyses and models of neural responses of cells in different brain areas of\r\nrats executing spatial tasks. I will conclude the thesis by discussing the impact of the findings\r\non principles of memory formation and retention, including the mechanisms, the speed, and\r\nthe duration of these processes."}],"_id":"11932","date_created":"2022-08-19T08:52:30Z","file":[{"date_updated":"2023-06-20T22:30:04Z","embargo_to":"open_access","relation":"source_file","file_size":13515457,"date_created":"2022-08-19T16:31:34Z","file_name":"Michele Nardin, Ph.D. Thesis - ISTA (1).zip","access_level":"closed","checksum":"2dbb70c74aaa3b64c1f463e943baf09c","content_type":"application/zip","creator":"mnardin","file_id":"11935"},{"file_size":9906458,"date_updated":"2023-06-20T22:30:04Z","date_created":"2022-08-22T09:43:50Z","relation":"main_file","embargo":"2023-06-19","access_level":"open_access","file_name":"Michele_Nardin_Phd_Thesis_PDFA.pdf","checksum":"0ec94035ea35a47a9f589ed168e60b48","content_type":"application/pdf","creator":"mnardin","file_id":"11941"}],"doi":"10.15479/at:ista:11932","publication_identifier":{"issn":["2663-337X"]},"acknowledgement":"I acknowledge the support from the European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie Grant Agreement No. 665385.","title":"On the encoding, transfer, and consolidation of spatial memories","publication_status":"published","file_date_updated":"2023-06-20T22:30:04Z","oa_version":"Published Version","article_processing_charge":"No","degree_awarded":"PhD","department":[{"_id":"GradSch"},{"_id":"JoCs"}],"ec_funded":1,"date_updated":"2023-09-05T12:02:14Z","author":[{"id":"30BD0376-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-8849-6570","full_name":"Nardin, Michele","first_name":"Michele","last_name":"Nardin"}],"user_id":"8b945eb4-e2f2-11eb-945a-df72226e66a9","oa":1,"related_material":{"record":[{"status":"public","relation":"part_of_dissertation","id":"10077"},{"id":"6194","status":"public","relation":"part_of_dissertation"}]}},{"language":[{"iso":"eng"}],"department":[{"_id":"GradSch"},{"_id":"JoCs"},{"_id":"GaTk"}],"month":"09","date_updated":"2024-03-25T23:30:09Z","ec_funded":1,"publication":"bioRxiv","status":"public","author":[{"id":"30BD0376-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-8849-6570","full_name":"Nardin, Michele","first_name":"Michele","last_name":"Nardin"},{"full_name":"Csicsvari, Jozsef L","id":"3FA14672-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-5193-4036","last_name":"Csicsvari","first_name":"Jozsef L"},{"full_name":"Tkačik, Gašper","id":"3D494DCA-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-6699-1455","last_name":"Tkačik","first_name":"Gašper"},{"full_name":"Savin, Cristina","id":"3933349E-F248-11E8-B48F-1D18A9856A87","last_name":"Savin","first_name":"Cristina"}],"publisher":"Cold Spring Harbor Laboratory","user_id":"8b945eb4-e2f2-11eb-945a-df72226e66a9","type":"preprint","date_published":"2021-09-29T00:00:00Z","related_material":{"record":[{"id":"11932","status":"public","relation":"dissertation_contains"}]},"oa":1,"citation":{"ama":"Nardin M, Csicsvari JL, Tkačik G, Savin C. The structure of hippocampal CA1 interactions optimizes spatial coding across experience. <i>bioRxiv</i>. doi:<a href=\"https://doi.org/10.1101/2021.09.28.460602\">10.1101/2021.09.28.460602</a>","ista":"Nardin M, Csicsvari JL, Tkačik G, Savin C. The structure of hippocampal CA1 interactions optimizes spatial coding across experience. bioRxiv, <a href=\"https://doi.org/10.1101/2021.09.28.460602\">10.1101/2021.09.28.460602</a>.","ieee":"M. Nardin, J. L. Csicsvari, G. Tkačik, and C. Savin, “The structure of hippocampal CA1 interactions optimizes spatial coding across experience,” <i>bioRxiv</i>. Cold Spring Harbor Laboratory.","apa":"Nardin, M., Csicsvari, J. L., Tkačik, G., &#38; Savin, C. (n.d.). The structure of hippocampal CA1 interactions optimizes spatial coding across experience. <i>bioRxiv</i>. Cold Spring Harbor Laboratory. <a href=\"https://doi.org/10.1101/2021.09.28.460602\">https://doi.org/10.1101/2021.09.28.460602</a>","short":"M. Nardin, J.L. Csicsvari, G. Tkačik, C. Savin, BioRxiv (n.d.).","chicago":"Nardin, Michele, Jozsef L Csicsvari, Gašper Tkačik, and Cristina Savin. “The Structure of Hippocampal CA1 Interactions Optimizes Spatial Coding across Experience.” <i>BioRxiv</i>. Cold Spring Harbor Laboratory, n.d. <a href=\"https://doi.org/10.1101/2021.09.28.460602\">https://doi.org/10.1101/2021.09.28.460602</a>.","mla":"Nardin, Michele, et al. “The Structure of Hippocampal CA1 Interactions Optimizes Spatial Coding across Experience.” <i>BioRxiv</i>, Cold Spring Harbor Laboratory, doi:<a href=\"https://doi.org/10.1101/2021.09.28.460602\">10.1101/2021.09.28.460602</a>."},"year":"2021","abstract":[{"lang":"eng","text":"Although much is known about how single neurons in the hippocampus represent an animal’s position, how cell-cell interactions contribute to spatial coding remains poorly understood. Using a novel statistical estimator and theoretical modeling, both developed in the framework of maximum entropy models, we reveal highly structured cell-to-cell interactions whose statistics depend on familiar vs. novel environment. In both conditions the circuit interactions optimize the encoding of spatial information, but for regimes that differ in the signal-to-noise ratio of their spatial inputs. Moreover, the topology of the interactions facilitates linear decodability, making the information easy to read out by downstream circuits. These findings suggest that the efficient coding hypothesis is not applicable only to individual neuron properties in the sensory periphery, but also to neural interactions in the central brain."}],"project":[{"call_identifier":"FP7","grant_number":"291734","name":"International IST Postdoc Fellowship Programme","_id":"25681D80-B435-11E9-9278-68D0E5697425"},{"_id":"2564DBCA-B435-11E9-9278-68D0E5697425","name":"International IST Doctoral Program","call_identifier":"H2020","grant_number":"665385"},{"call_identifier":"FP7","grant_number":"281511","name":"Memory-related information processing in neuronal circuits of the hippocampus and entorhinal cortex","_id":"257A4776-B435-11E9-9278-68D0E5697425"},{"grant_number":"P34015","name":"Efficient coding with biophysical realism","_id":"626c45b5-2b32-11ec-9570-e509828c1ba6"}],"tmp":{"image":"/images/cc_by_nc_nd.png","legal_code_url":"https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode","short":"CC BY-NC-ND (4.0)","name":"Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)"},"date_created":"2021-10-04T06:23:34Z","_id":"10077","main_file_link":[{"url":"https://www.biorxiv.org/content/10.1101/2021.09.28.460602","open_access":"1"}],"doi":"10.1101/2021.09.28.460602","day":"29","acknowledgement":"We thank Peter Baracskay, Karola Kaefer and Hugo Malagon-Vina for the acquisition of the data. We thank Federico Stella for comments on an earlier version of the manuscript. MN was supported by European Union Horizon 2020 grant 665385, JC was supported by European Research Council consolidator grant 281511, GT was supported by the Austrian Science Fund (FWF) grant P34015, CS was supported by an IST fellow grant, National Institute of Mental Health Award 1R01MH125571-01, by the National Science Foundation under NSF Award No. 1922658 and a Google faculty award.","publication_status":"submitted","title":"The structure of hippocampal CA1 interactions optimizes spatial coding across experience","oa_version":"Preprint","article_processing_charge":"No"},{"date_updated":"2021-10-05T12:34:26Z","ec_funded":1,"status":"public","publication":"bioRxiv","department":[{"_id":"GradSch"},{"_id":"JoCs"}],"month":"10","language":[{"iso":"eng"}],"oa":1,"type":"preprint","date_published":"2021-10-02T00:00:00Z","user_id":"8b945eb4-e2f2-11eb-945a-df72226e66a9","author":[{"first_name":"Michele","last_name":"Nardin","orcid":"0000-0001-8849-6570","id":"30BD0376-F248-11E8-B48F-1D18A9856A87","full_name":"Nardin, Michele"},{"last_name":"Käfer","first_name":"Karola","full_name":"Käfer, Karola","id":"2DAA49AA-F248-11E8-B48F-1D18A9856A87"},{"last_name":"Csicsvari","first_name":"Jozsef L","full_name":"Csicsvari, Jozsef L","orcid":"0000-0002-5193-4036","id":"3FA14672-F248-11E8-B48F-1D18A9856A87"}],"publisher":"Cold Spring Harbor Laboratory","project":[{"name":"Inter-and intracellular signalling in schizophrenia","_id":"257BBB4C-B435-11E9-9278-68D0E5697425","grant_number":"607616","call_identifier":"FP7"}],"date_created":"2021-10-04T06:28:32Z","_id":"10080","abstract":[{"lang":"eng","text":"Hippocampal and neocortical neural activity is modulated by the position of the individual in space. While hippocampal neurons provide the basis for a spatial map, prefrontal cortical neurons generalize over environmental features. Whether these generalized representations result from a bidirectional interaction with, or are mainly derived from hippocampal spatial representations is not known. By examining simultaneously recorded hippocampal and medial prefrontal neurons, we observed that prefrontal spatial representations show a delayed coherence with hippocampal ones. We also identified subpopulations of cells in the hippocampus and medial prefrontal cortex that formed functional cross-area couplings; these resembled the optimal connections predicted by a probabilistic model of spatial information transfer and generalization. Moreover, cross-area couplings were strongest and had the shortest delay preceding spatial decision-making. Our results suggest that generalized spatial coding in the medial prefrontal cortex is inherited from spatial representations in the hippocampus, and that the routing of information can change dynamically with behavioral demands."}],"citation":{"mla":"Nardin, Michele, et al. “The Generalized Spatial Representation in the Prefrontal Cortex Is Inherited from the Hippocampus.” <i>BioRxiv</i>, Cold Spring Harbor Laboratory, doi:<a href=\"https://doi.org/10.1101/2021.09.30.462269\">10.1101/2021.09.30.462269</a>.","short":"M. Nardin, K. Käfer, J.L. Csicsvari, BioRxiv (n.d.).","apa":"Nardin, M., Käfer, K., &#38; Csicsvari, J. L. (n.d.). The generalized spatial representation in the prefrontal cortex is inherited from the hippocampus. <i>bioRxiv</i>. Cold Spring Harbor Laboratory. <a href=\"https://doi.org/10.1101/2021.09.30.462269\">https://doi.org/10.1101/2021.09.30.462269</a>","chicago":"Nardin, Michele, Karola Käfer, and Jozsef L Csicsvari. “The Generalized Spatial Representation in the Prefrontal Cortex Is Inherited from the Hippocampus.” <i>BioRxiv</i>. Cold Spring Harbor Laboratory, n.d. <a href=\"https://doi.org/10.1101/2021.09.30.462269\">https://doi.org/10.1101/2021.09.30.462269</a>.","ama":"Nardin M, Käfer K, Csicsvari JL. The generalized spatial representation in the prefrontal cortex is inherited from the hippocampus. <i>bioRxiv</i>. doi:<a href=\"https://doi.org/10.1101/2021.09.30.462269\">10.1101/2021.09.30.462269</a>","ista":"Nardin M, Käfer K, Csicsvari JL. The generalized spatial representation in the prefrontal cortex is inherited from the hippocampus. bioRxiv, <a href=\"https://doi.org/10.1101/2021.09.30.462269\">10.1101/2021.09.30.462269</a>.","ieee":"M. Nardin, K. Käfer, and J. L. Csicsvari, “The generalized spatial representation in the prefrontal cortex is inherited from the hippocampus,” <i>bioRxiv</i>. Cold Spring Harbor Laboratory."},"year":"2021","article_processing_charge":"No","oa_version":"Preprint","title":"The generalized spatial representation in the prefrontal cortex is inherited from the hippocampus","publication_status":"submitted","day":"02","acknowledgement":"We thank Federico Stella for invaluable suggestions and discussions. We thank Yosman BapatDhar and Andrea Cumpelik for comments, help and suggestions on the exposure of the text. We thank Predrag Živadinović and Juliana Couras for comments on the text and the figures. This work was supported by the EU-FP7 MC-ITN IN-SENS (grant 607616).","main_file_link":[{"url":"https://www.biorxiv.org/content/10.1101/2021.09.30.462269","open_access":"1"}],"doi":"10.1101/2021.09.30.462269"},{"project":[{"_id":"2564DBCA-B435-11E9-9278-68D0E5697425","name":"International IST Doctoral Program","grant_number":"665385","call_identifier":"H2020"}],"tmp":{"name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","image":"/images/cc_by.png","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)"},"has_accepted_license":"1","day":"15","quality_controlled":"1","language":[{"iso":"eng"}],"ddc":["519"],"month":"12","status":"public","publisher":"Centre Mersenne ; Peer Community In","date_published":"2021-12-15T00:00:00Z","external_id":{"arxiv":["2009.03857"]},"type":"journal_article","article_number":"e68","year":"2021","citation":{"ista":"Nardin M, Phillips JW, Podlaski WF, Keemink SW. 2021. Nonlinear computations in spiking neural networks through multiplicative synapses. Peer Community Journal. 1, e68.","ieee":"M. Nardin, J. W. Phillips, W. F. Podlaski, and S. W. Keemink, “Nonlinear computations in spiking neural networks through multiplicative synapses,” <i>Peer Community Journal</i>, vol. 1. Centre Mersenne ; Peer Community In, 2021.","ama":"Nardin M, Phillips JW, Podlaski WF, Keemink SW. Nonlinear computations in spiking neural networks through multiplicative synapses. <i>Peer Community Journal</i>. 2021;1. doi:<a href=\"https://doi.org/10.24072/pcjournal.69\">10.24072/pcjournal.69</a>","mla":"Nardin, Michele, et al. “Nonlinear Computations in Spiking Neural Networks through Multiplicative Synapses.” <i>Peer Community Journal</i>, vol. 1, e68, Centre Mersenne ; Peer Community In, 2021, doi:<a href=\"https://doi.org/10.24072/pcjournal.69\">10.24072/pcjournal.69</a>.","short":"M. Nardin, J.W. Phillips, W.F. Podlaski, S.W. Keemink, Peer Community Journal 1 (2021).","apa":"Nardin, M., Phillips, J. W., Podlaski, W. F., &#38; Keemink, S. W. (2021). Nonlinear computations in spiking neural networks through multiplicative synapses. <i>Peer Community Journal</i>. Centre Mersenne ; Peer Community In. <a href=\"https://doi.org/10.24072/pcjournal.69\">https://doi.org/10.24072/pcjournal.69</a>","chicago":"Nardin, Michele, James W. Phillips, William F. Podlaski, and Sander W. Keemink. “Nonlinear Computations in Spiking Neural Networks through Multiplicative Synapses.” <i>Peer Community Journal</i>. Centre Mersenne ; Peer Community In, 2021. <a href=\"https://doi.org/10.24072/pcjournal.69\">https://doi.org/10.24072/pcjournal.69</a>."},"abstract":[{"lang":"eng","text":"The brain efficiently performs nonlinear computations through its intricate networks of spiking neurons, but how this is done remains elusive. While nonlinear computations can be implemented successfully in spiking neural networks, this requires supervised training and the resulting connectivity can be hard to interpret. In contrast, the required connectivity for any computation in the form of a linear dynamical system can be directly derived and understood with the spike coding network (SCN) framework. These networks also have biologically realistic activity patterns and are highly robust to cell death. Here we extend the SCN framework to directly implement any polynomial dynamical system, without the need for training. This results in networks requiring a mix of synapse types (fast, slow, and multiplicative), which we term multiplicative spike coding networks (mSCNs). Using mSCNs, we demonstrate how to directly derive the required connectivity for several nonlinear dynamical systems. We also show how to carry out higher-order polynomials with coupled networks that use only pair-wise multiplicative synapses, and provide expected numbers of connections for each synapse type. Overall, our work demonstrates a novel method for implementing nonlinear computations in spiking neural networks, while keeping the attractive features of standard SCNs (robustness, realistic activity patterns, and interpretable connectivity). Finally, we discuss the biological plausibility of our approach, and how the high accuracy and robustness of the approach may be of interest for neuromorphic computing."}],"_id":"10635","date_created":"2022-01-17T11:12:40Z","file":[{"file_name":"10_24072_pcjournal_69.pdf","success":1,"access_level":"open_access","relation":"main_file","date_created":"2022-01-17T11:15:26Z","date_updated":"2022-01-17T11:15:26Z","file_size":3311494,"content_type":"application/pdf","file_id":"10636","creator":"mnardin","checksum":"cd9af6b331918608f2e3d1c7940cbf4f"}],"doi":"10.24072/pcjournal.69","article_type":"original","acknowledgement":"A preprint version of this article has been peer-reviewed and recommended by Peer Community In Neuroscience (DOI link to the recommendation: https://doi.org/10.24072/pci.cneuro.100003).\r\nWe thank Christian Machens and Nuno Calaim for useful discussions on the project. This report\r\ncame out of a collaboration started at the CAJAL Advanced Neuroscience Training Programme in\r\nComputational Neuroscience in Lisbon, Portugal, during the 2019 summer. The authors would\r\nlike to thank the participants, TAs, lecturers, and organizers of the summer school. SWK was\r\nsupported by the Simons Collaboration on the Global Brain (543009). WFP was supported by\r\nFCT (032077). MN was supported by European Union Horizon 2020 (665385).\r\n","publication_identifier":{"eissn":["2804-3871"]},"title":"Nonlinear computations in spiking neural networks through multiplicative synapses","publication_status":"published","file_date_updated":"2022-01-17T11:15:26Z","article_processing_charge":"No","oa_version":"Published Version","arxiv":1,"intvolume":"         1","department":[{"_id":"GradSch"},{"_id":"JoCs"}],"publication":"Peer Community Journal","date_updated":"2022-01-17T13:30:01Z","ec_funded":1,"author":[{"last_name":"Nardin","first_name":"Michele","full_name":"Nardin, Michele","id":"30BD0376-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-8849-6570"},{"full_name":"Phillips, James W.","first_name":"James W.","last_name":"Phillips"},{"full_name":"Podlaski, William F.","last_name":"Podlaski","first_name":"William F."},{"full_name":"Keemink, Sander W.","last_name":"Keemink","first_name":"Sander W."}],"user_id":"8b945eb4-e2f2-11eb-945a-df72226e66a9","oa":1,"volume":1},{"project":[{"name":"Inter-and intracellular signalling in schizophrenia","_id":"257BBB4C-B435-11E9-9278-68D0E5697425","grant_number":"607616","call_identifier":"FP7"}],"issue":"1","quality_controlled":"1","day":"08","page":"P154-165.e6","status":"public","isi":1,"month":"04","language":[{"iso":"eng"}],"type":"journal_article","date_published":"2020-04-08T00:00:00Z","external_id":{"isi":["000525319300016"],"pmid":["32032512"]},"pmid":1,"publisher":"Elsevier","date_created":"2020-02-10T15:45:48Z","_id":"7472","abstract":[{"lang":"eng","text":"Temporally organized reactivation of experiences during awake immobility periods is thought to underlie cognitive processes like planning and evaluation. While replay of trajectories is well established for the hippocampus, it is unclear whether the medial prefrontal cortex (mPFC) can reactivate sequential behavioral experiences in the awake state to support task execution. We simultaneously recorded from hippocampal and mPFC principal neurons in rats performing a mPFC-dependent rule-switching task on a plus maze. We found that mPFC neuronal activity encoded relative positions between the start and goal. During awake immobility periods, the mPFC replayed temporally organized sequences of these generalized positions, resembling entire spatial trajectories. The occurrence of mPFC trajectory replay positively correlated with rule-switching performance. However, hippocampal and mPFC trajectory replay occurred independently, indicating different functions. These results demonstrate that the mPFC can replay ordered activity patterns representing generalized locations and suggest that mPFC replay might have a role in flexible behavior."}],"citation":{"apa":"Käfer, K., Nardin, M., Blahna, K., &#38; Csicsvari, J. L. (2020). Replay of behavioral sequences in the medial prefrontal cortex during rule switching. <i>Neuron</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.neuron.2020.01.015\">https://doi.org/10.1016/j.neuron.2020.01.015</a>","short":"K. Käfer, M. Nardin, K. Blahna, J.L. Csicsvari, Neuron 106 (2020) P154–165.e6.","chicago":"Käfer, Karola, Michele Nardin, Karel Blahna, and Jozsef L Csicsvari. “Replay of Behavioral Sequences in the Medial Prefrontal Cortex during Rule Switching.” <i>Neuron</i>. Elsevier, 2020. <a href=\"https://doi.org/10.1016/j.neuron.2020.01.015\">https://doi.org/10.1016/j.neuron.2020.01.015</a>.","mla":"Käfer, Karola, et al. “Replay of Behavioral Sequences in the Medial Prefrontal Cortex during Rule Switching.” <i>Neuron</i>, vol. 106, no. 1, Elsevier, 2020, p. P154–165.e6, doi:<a href=\"https://doi.org/10.1016/j.neuron.2020.01.015\">10.1016/j.neuron.2020.01.015</a>.","ama":"Käfer K, Nardin M, Blahna K, Csicsvari JL. Replay of behavioral sequences in the medial prefrontal cortex during rule switching. <i>Neuron</i>. 2020;106(1):P154-165.e6. doi:<a href=\"https://doi.org/10.1016/j.neuron.2020.01.015\">10.1016/j.neuron.2020.01.015</a>","ieee":"K. Käfer, M. Nardin, K. Blahna, and J. L. Csicsvari, “Replay of behavioral sequences in the medial prefrontal cortex during rule switching,” <i>Neuron</i>, vol. 106, no. 1. Elsevier, p. P154–165.e6, 2020.","ista":"Käfer K, Nardin M, Blahna K, Csicsvari JL. 2020. Replay of behavioral sequences in the medial prefrontal cortex during rule switching. Neuron. 106(1), P154–165.e6."},"year":"2020","oa_version":"Published Version","article_processing_charge":"No","title":"Replay of behavioral sequences in the medial prefrontal cortex during rule switching","publication_status":"published","publication_identifier":{"issn":["0896-6273"]},"acknowledgement":"We thank Todor Asenov and Thomas Menner from the Machine Shop for the drive design and production, Hugo Malagon-Vina for assistance in maze automatization, Jago Wallenschus for taking the images of the histology, and Federico Stella and Juan Felipe Ramirez-Villegas for comments on an earlier version of the manuscript. This work was supported by the EU-FP7 MC-ITN IN-SENS (grant 607616 ).","article_type":"original","scopus_import":"1","doi":"10.1016/j.neuron.2020.01.015","main_file_link":[{"url":"https://doi.org/10.1016/j.neuron.2020.01.015","open_access":"1"}],"date_updated":"2023-08-17T14:38:02Z","ec_funded":1,"publication":"Neuron","department":[{"_id":"JoCs"}],"intvolume":"       106","volume":106,"related_material":{"link":[{"relation":"press_release","description":"News on IST Homepage","url":"https://ist.ac.at/en/news/this-brain-area-helps-us-decide/"}]},"oa":1,"acknowledged_ssus":[{"_id":"M-Shop"}],"user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","author":[{"first_name":"Karola","last_name":"Käfer","id":"2DAA49AA-F248-11E8-B48F-1D18A9856A87","full_name":"Käfer, Karola"},{"last_name":"Nardin","first_name":"Michele","full_name":"Nardin, Michele","orcid":"0000-0001-8849-6570","id":"30BD0376-F248-11E8-B48F-1D18A9856A87"},{"first_name":"Karel","last_name":"Blahna","id":"3EA859AE-F248-11E8-B48F-1D18A9856A87","full_name":"Blahna, Karel"},{"full_name":"Csicsvari, Jozsef L","orcid":"0000-0002-5193-4036","id":"3FA14672-F248-11E8-B48F-1D18A9856A87","last_name":"Csicsvari","first_name":"Jozsef L"}]},{"month":"03","department":[{"_id":"JoCs"}],"status":"public","date_updated":"2024-02-21T12:46:04Z","date_published":"2019-03-29T00:00:00Z","type":"research_data","oa":1,"related_material":{"record":[{"status":"public","relation":"research_paper","id":"6194"}]},"publisher":"Institute of Science and Technology Austria","author":[{"full_name":"Nardin, Michele","id":"30BD0376-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-8849-6570","last_name":"Nardin","first_name":"Michele"}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","_id":"6062","has_accepted_license":"1","license":"https://creativecommons.org/licenses/by-sa/4.0/","tmp":{"name":"Creative Commons Attribution-ShareAlike 4.0 International Public License (CC BY-SA 4.0)","short":"CC BY-SA (4.0)","legal_code_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","image":"/images/cc_by_sa.png"},"file":[{"checksum":"48e7b9a02939b763417733239522a236","title":"Data for the paper \"The Entorhinal Cognitive Map is Attracted to Goals\"","content_type":"application/zip","creator":"mnardin","file_id":"6068","relation":"main_file","file_size":37002186,"date_updated":"2020-07-14T12:47:18Z","date_created":"2019-03-05T09:29:37Z","access_level":"open_access","file_name":"Online_data.zip"}],"date_created":"2019-03-04T14:20:58Z","year":"2019","citation":{"short":"M. Nardin, (2019).","apa":"Nardin, M. (2019). Supplementary Code and Data for the paper “The Entorhinal Cognitive Map is Attracted to Goals.” Institute of Science and Technology Austria. <a href=\"https://doi.org/10.15479/AT:ISTA:6062\">https://doi.org/10.15479/AT:ISTA:6062</a>","chicago":"Nardin, Michele. “Supplementary Code and Data for the Paper ‘The Entorhinal Cognitive Map Is Attracted to Goals.’” Institute of Science and Technology Austria, 2019. <a href=\"https://doi.org/10.15479/AT:ISTA:6062\">https://doi.org/10.15479/AT:ISTA:6062</a>.","mla":"Nardin, Michele. <i>Supplementary Code and Data for the Paper “The Entorhinal Cognitive Map Is Attracted to Goals.”</i> Institute of Science and Technology Austria, 2019, doi:<a href=\"https://doi.org/10.15479/AT:ISTA:6062\">10.15479/AT:ISTA:6062</a>.","ieee":"M. Nardin, “Supplementary Code and Data for the paper ‘The Entorhinal Cognitive Map is Attracted to Goals.’” Institute of Science and Technology Austria, 2019.","ista":"Nardin M. 2019. Supplementary Code and Data for the paper ‘The Entorhinal Cognitive Map is Attracted to Goals’, Institute of Science and Technology Austria, <a href=\"https://doi.org/10.15479/AT:ISTA:6062\">10.15479/AT:ISTA:6062</a>.","ama":"Nardin M. Supplementary Code and Data for the paper “The Entorhinal Cognitive Map is Attracted to Goals.” 2019. doi:<a href=\"https://doi.org/10.15479/AT:ISTA:6062\">10.15479/AT:ISTA:6062</a>"},"abstract":[{"text":"Open the files in Jupyter Notebook (reccomended https://www.anaconda.com/distribution/#download-section with Python 3.7).","lang":"eng"}],"title":"Supplementary Code and Data for the paper \"The Entorhinal Cognitive Map is Attracted to Goals\"","file_date_updated":"2020-07-14T12:47:18Z","article_processing_charge":"No","oa_version":"Published Version","doi":"10.15479/AT:ISTA:6062","day":"29"},{"quality_controlled":"1","page":"1443-1447","day":"29","issue":"6434","project":[{"call_identifier":"FP7","grant_number":"281511","name":"Memory-related information processing in neuronal circuits of the hippocampus and entorhinal cortex","_id":"257A4776-B435-11E9-9278-68D0E5697425"},{"name":"International IST Doctoral Program","_id":"2564DBCA-B435-11E9-9278-68D0E5697425","grant_number":"665385","call_identifier":"H2020"}],"has_accepted_license":"1","type":"journal_article","external_id":{"isi":["000462738000034"]},"date_published":"2019-03-29T00:00:00Z","publisher":"American Association for the Advancement of Science","isi":1,"month":"03","status":"public","ddc":["570"],"language":[{"iso":"eng"}],"title":"The entorhinal cognitive map is attracted to goals","publication_status":"published","article_processing_charge":"No","oa_version":"Submitted Version","file_date_updated":"2020-07-14T12:47:23Z","scopus_import":"1","doi":"10.1126/science.aav4837","publication_identifier":{"eissn":["1095-9203"],"issn":["0036-8075"]},"article_type":"original","file":[{"file_id":"7826","creator":"dernst","content_type":"application/pdf","checksum":"5e6b16742cde10a560cfaf2130764da1","file_name":"2019_Science_Boccara.pdf","access_level":"open_access","date_updated":"2020-07-14T12:47:23Z","date_created":"2020-05-14T09:11:10Z","file_size":9045923,"relation":"main_file"}],"date_created":"2019-04-04T08:39:30Z","_id":"6194","citation":{"apa":"Boccara, C. N., Nardin, M., Stella, F., O’Neill, J., &#38; Csicsvari, J. L. (2019). The entorhinal cognitive map is attracted to goals. <i>Science</i>. American Association for the Advancement of Science. <a href=\"https://doi.org/10.1126/science.aav4837\">https://doi.org/10.1126/science.aav4837</a>","short":"C.N. Boccara, M. Nardin, F. Stella, J. O’Neill, J.L. Csicsvari, Science 363 (2019) 1443–1447.","chicago":"Boccara, Charlotte N., Michele Nardin, Federico Stella, Joseph O’Neill, and Jozsef L Csicsvari. “The Entorhinal Cognitive Map Is Attracted to Goals.” <i>Science</i>. American Association for the Advancement of Science, 2019. <a href=\"https://doi.org/10.1126/science.aav4837\">https://doi.org/10.1126/science.aav4837</a>.","mla":"Boccara, Charlotte N., et al. “The Entorhinal Cognitive Map Is Attracted to Goals.” <i>Science</i>, vol. 363, no. 6434, American Association for the Advancement of Science, 2019, pp. 1443–47, doi:<a href=\"https://doi.org/10.1126/science.aav4837\">10.1126/science.aav4837</a>.","ama":"Boccara CN, Nardin M, Stella F, O’Neill J, Csicsvari JL. The entorhinal cognitive map is attracted to goals. <i>Science</i>. 2019;363(6434):1443-1447. doi:<a href=\"https://doi.org/10.1126/science.aav4837\">10.1126/science.aav4837</a>","ieee":"C. N. Boccara, M. Nardin, F. Stella, J. O’Neill, and J. L. Csicsvari, “The entorhinal cognitive map is attracted to goals,” <i>Science</i>, vol. 363, no. 6434. American Association for the Advancement of Science, pp. 1443–1447, 2019.","ista":"Boccara CN, Nardin M, Stella F, O’Neill J, Csicsvari JL. 2019. The entorhinal cognitive map is attracted to goals. Science. 363(6434), 1443–1447."},"year":"2019","abstract":[{"text":"Grid cells with their rigid hexagonal firing fields are thought to provide an invariant metric to the hippocampal cognitive map, yet environmental geometrical features have recently been shown to distort the grid structure. Given that the hippocampal role goes beyond space, we tested the influence of nonspatial information on the grid organization. We trained rats to daily learn three new reward locations on a cheeseboard maze while recording from the medial entorhinal cortex and the hippocampal CA1 region. Many grid fields moved toward goal location, leading to long-lasting deformations of the entorhinal map. Therefore, distortions in the grid structure contribute to goal representation during both learning and recall, which demonstrates that grid cells participate in mnemonic coding and do not merely provide a simple metric of space.","lang":"eng"}],"volume":363,"oa":1,"related_material":{"link":[{"relation":"press_release","description":"News on IST Homepage","url":"https://ist.ac.at/en/news/grid-cells-create-treasure-map-in-rat-brain/"}],"record":[{"status":"public","relation":"popular_science","id":"6062"},{"status":"public","relation":"dissertation_contains","id":"11932"}]},"author":[{"first_name":"Charlotte N.","last_name":"Boccara","id":"3FC06552-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-7237-5109","full_name":"Boccara, Charlotte N."},{"id":"30BD0376-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-8849-6570","full_name":"Nardin, Michele","first_name":"Michele","last_name":"Nardin"},{"orcid":"0000-0001-9439-3148","id":"39AF1E74-F248-11E8-B48F-1D18A9856A87","full_name":"Stella, Federico","first_name":"Federico","last_name":"Stella"},{"last_name":"O'Neill","first_name":"Joseph","full_name":"O'Neill, Joseph","id":"426376DC-F248-11E8-B48F-1D18A9856A87"},{"first_name":"Jozsef L","last_name":"Csicsvari","id":"3FA14672-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-5193-4036","full_name":"Csicsvari, Jozsef L"}],"user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1","department":[{"_id":"JoCs"}],"date_updated":"2024-03-25T23:30:09Z","ec_funded":1,"publication":"Science","intvolume":"       363"}]